中国电机工程学报2017，Vol.37Issue(6)：1634-1644,11.DOI:10.13334/j.0258-8013.pcsee.152839
主动配电网最优潮流研究及其应用实例
Optimal Power Flow Research in Active Distribution Network and Its Application Examples
摘要
Abstract
Research on optimal power flow is indispensable in distribution network planning and operation.After the integration of distributed energy resource (DER) in the active distribution network,it becomes much more significant.Traditional heuristic algorithms fail to guarantee optimality and may be computationally cumbersome for real time operation in active distribution network.Moreover,the linearization based optimal power flow method is infeasible in distribution network due to the low R/X ratio of distribution lines.A dynamic optimal power flow framework based on second order cone programming (SOCP) was proposed in this paper to transform the original non-linear models to SOCP problems for fast solving.First,the second order conic relaxation (SOCR) based the basic dynamic optimal power flow model was presented.Then some main elements in the active distribution network were modeled via linearization.Those elements included active management devices,distribution network reconfiguration,demand response and comprehensive loads in this study.The accuracy of the relaxed model and approximation means were also analysis.Finally,the proposed second order conic relaxation based dynamic optimal power flow (SOCR-DOPF) was verified feasible by three application examples in active distribution network.关键词
主动配电网/动态最优潮流/二阶锥松弛/配电网重构/综合负荷Key words
active distribution network/dynamic optimal power flow (DOPF)/second order conic relaxation (SOCR)/distribution network reconfiguration/comprehensive loads分类
信息技术与安全科学引用本文复制引用
高红均,刘俊勇,沈晓东,徐芮..主动配电网最优潮流研究及其应用实例[J].中国电机工程学报,2017,37(6):1634-1644,11.基金项目
国家高技术研究发展计划(2014AA051901) （2014AA051901）
国家自然科学基金项目(51377111).Project Supported by National High Technology Research and Development Program of China (2014AA051901) （51377111）
Project Supported by National Natural Science Foundation of China (51377111). （51377111）
